This Course Cover Topics such as Python Basic Concepts, Python Advance Concepts, Numpy Library , Unmanned Ground Vehicle (UGV), Artificial Intelligence (AI), Machine Learning and Types, Unsupervised Learning, Reinforcement Learning, Speech Recognition and Natural Language Processing (NLP)
This Course have five parts
1. AI Design Part 1 Unmanned Ground Vehicle Path Finding
2. AI Design Part 2 Bellman Equation
3. AI Design Part 3 Markov Decision Tree
4. AI Design Part 4 Q Learning
5. AI for Part 5 Code for Displaying Path
Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals. (Wikipedia)
Natural language processing (NLP) allows machines to read and understand human language. A sufficiently powerful natural language processing system would enable natural-language user interfaces and the acquisition of knowledge directly from human-written sources, such as newswire texts. Some straightforward applications of NLP include information retrieval, question answering and machine translation. (Wikipedia)
This is best course for any one who wants to start career in Artificial Intelligence, Python and Machine Learning.
More About AI- AI applications include advanced web search engines (e.g., Google), recommendation systems (used by YouTube, Amazon and Netflix), understanding human speech (such as Siri and Alexa), self-driving cars (e.g., Tesla), automated decision-making and competing at the highest level in strategic game systems (such as chess and Go). As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI,[4] having become a routine technology. (Wikipedia)
